LINGUISTIC EXTRACTION OF TEMPORAL AND LOCATION INFORMATION FOR RECOMMENDATION SYSTEM

PROBLEM TO BE SOLVED: To solve the following problem in recommending activities that are tailored to a user's short-term needs and general preferences without requiring the user to input specific preference information. SOLUTION: An activity recommendation system extracts temporal and location...

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Hauptverfasser:	DANIEL G BOBURO, KING TRACY H, BELLOTTI VICTORIA M, FANG JI
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC COMMUNICATION TECHNIQUE ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY PHYSICS PICTORIAL COMMUNICATION, e.g. TELEVISION SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	PROBLEM TO BE SOLVED: To solve the following problem in recommending activities that are tailored to a user's short-term needs and general preferences without requiring the user to input specific preference information. SOLUTION: An activity recommendation system extracts temporal and location information, wherein when one or more messages 202 are received, a user content extraction engine (UCEE) 204 analyzes the text of the message 202 and extracts a set of activity-related information 206. The information 206 may include specific terms associated with one or more activity types, temporal information, location information, and a user's preference information associated with an activity or a type of activity. COPYRIGHT: (C)2009,JPO&INPIT